Comments on 'A comparative study of ANN and neuro-fuzzy for the prediction of dynamic constant of rockmass' by T N Singh, R Kanchan, A K Verma and K Saigal

Tarkan Erdik; Zekai Şen

doi:10.1007/s12040-008-0082-2

Comments on 'A comparative study of ANN and neuro-fuzzy for the prediction of dynamic constant of rockmass' by T N Singh, R Kanchan, A K Verma and K Saigal

Tarkan Erdik^*, Zekai Şen

^*Corresponding author for this work

Department of Civil Engineering

Istanbul Technical University

Research output: Contribution to journal › Comment/debate

1 Citation (Scopus)

Abstract

Singh et al (2005) examined the potential of the ANN and neuro-fuzzy systems application for the prediction of dynamic constant of rockmass. However, the model proposed by them has some drawbacks according to fuzzy logic principles. This discussion will focus on the main fuzzy logic principles which authors and potential readers should take into consideration.

Original language	English
Pages (from-to)	973-974
Number of pages	2
Journal	Journal of Earth System Science
Volume	117
Issue number	6
DOIs	https://doi.org/10.1007/s12040-008-0082-2
Publication status	Published - 2008

Keywords

Artificial neural network
Compressive strength
Density
Hardness
Neuro-fuzzy
P-wave velocity

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10.1007/s12040-008-0082-2

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abstract = "Singh et al (2005) examined the potential of the ANN and neuro-fuzzy systems application for the prediction of dynamic constant of rockmass. However, the model proposed by them has some drawbacks according to fuzzy logic principles. This discussion will focus on the main fuzzy logic principles which authors and potential readers should take into consideration.",

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AB - Singh et al (2005) examined the potential of the ANN and neuro-fuzzy systems application for the prediction of dynamic constant of rockmass. However, the model proposed by them has some drawbacks according to fuzzy logic principles. This discussion will focus on the main fuzzy logic principles which authors and potential readers should take into consideration.

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KW - Compressive strength

KW - Density

KW - Hardness

KW - Neuro-fuzzy

KW - P-wave velocity

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Comments on 'A comparative study of ANN and neuro-fuzzy for the prediction of dynamic constant of rockmass' by T N Singh, R Kanchan, A K Verma and K Saigal

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Keywords

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